Woody plant species diversity, vegetation structure, and regeneration status of Modi-Geyi Forest in Andracha District, Southwest Ethiopia. [PDF]
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Prediction of 30-day mortality for ICU patients with Sepsis-3. [PDF]
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Pathogen-induced alterations in fine-scale movement behaviour predict impaired reproductive success. [PDF]
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Mapping the density of giant trees in the Amazon. [PDF]
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Integration of mRNA-miRNA Reveals the Possible Role of PyCYCD3 in Increasing Branches Through Bud-Notching in Pear (Pyrus bretschneideri Rehd.). [PDF]
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Key traits influencing the resistance of Eucalyptus camaldulensis to wind damage in coastal areas of South China. [PDF]
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Effect of slope on treetop detection using a LiDAR Canopy Height Model
Canopy Height Models (CHMs) or normalized Digital Surface Models (nDSM) derived from LiDAR data have been applied to extract relevant forest inventory information. However, generating a CHM by height normalizing the raw LiDAR points is challenging if trees are located on complex terrain.
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TREETOP DETECTION FOR A RIVERINE BAMBOO FOREST USING UAV IMAGES
Journal of Japan Society of Civil Engineers Ser G (Environmental Research), 2022Yuta Mizoguchi
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Canopy height models (CHMs) were utilized to detect treetops and estimate individual-tree parameters. The treetop detection based on CHMs was affected by surface topography and crown characteristics. However, their effects have not been well studied. Therefore, this paper aimed at assessing the impacts of aforementioned factors to facilitate treetop ...
Xiaohuan Xi, Xiaoxiao zhu, Shezhou Luo
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Individual Tree-Crown Delineation and Treetop Detection in High-Spatial-Resolution Aerial Imagery
Photogrammetric Engineering and Remote Sensing, 2004The cost of forest sampling can be reduced substantially by the ability to estimate forest and tree parameters directly from aerial photographs. However, in order to do so it is necessary to be able to accurately identify individual treetops and then to define the region in the vicinity of the treetop that encompasses the crown extent.
Le Wang, Peng Gong, Gregory S Biging
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